generateParConfig: Generates a suitable Parameter Configuration Set for a given...
In jakob-r/mlrHyperopt: Easy Hyperparameteroptimization with mlr and mlrMBO
Description
Usage
Arguments
Value
Note
Examples
View source: R/generateParConfig.R
Description
This function tries to find a good Parameter Configuration for the given learner.
Usage
1
generateParConfig(learner, task = NULL)
Arguments
learner
[Learner]
Learner
task
[Task]
The Task
Value
[ParConfig]
Note
The output of this function might change over time with coming updates. Not recommended for reproducible research unless you save the output.
Examples
1
2
par.config = generateParConfig("classif.svm")
print(par.config)
jakob-r/mlrHyperopt documentation built on Jan. 10, 2022, 4:32 p.m.
R Package Documentation
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Description Usage Arguments Value Note Examples
View source: R/generateParConfig.R
Description
This function tries to find a good Parameter Configuration for the given learner.
Usage
1 | generateParConfig(learner, task = NULL)
|
Arguments
learner |
[ |
task |
[ |
Value
[ParConfig]
Note
The output of this function might change over time with coming updates. Not recommended for reproducible research unless you save the output.
Examples
1 2 | par.config = generateParConfig("classif.svm")
print(par.config)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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